An Efficient Global Optimization Algorithm for Heated Oil Pipeline Problems
文献类型：期刊论文
| 作者 | Yang, Muming2,3; Huang, Yakui1; Dai, Yu-Hong2,3; Li, Bo4 |
| 刊名 | INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
 |
| 出版日期 | 2020-04-08 |
| 卷号 | 59期号:14页码:6638-6649 |
| ISSN号 | 0888-5885 |
| DOI | 10.1021/acs.iecr.0c00039 |
| 英文摘要 | It is a crucial problem how to heat oil and save running costs for crude oil transport. This paper strictly formulates a steady-state heated oil pipeline operation problem as an explicit mixed integer nonlinear program, including consideration of two different kinds of pumps and a general hydraulic friction formulation. Different from research utilizing meta-heuristic type methods, this work presents a specifically designed branch-and-bound method called HOPBB which obtains the global optimum of the model. To achieve this, nonconvex and convex continuous relaxations of the model are proposed, which are proven to be equivalent under some suitable conditions. Meanwhile, we provide a preprocessing procedure to guarantee these conditions and introduce an outer approximation method with the warm start strategy to make the algorithm more efficient. The case study on the operation of the Q-T pipeline in China shows that our algorithm achieves a better scheme and can save 6.83% running cost compared with the practical scheme. Discussion on the effect of increasing transport temperature further gives an improvement direction which may save over 8% total operation cost. Comparisons with several commercial and open source MINLP solvers illustrate the superiority of the efficiency of the proposed HOPBB method. |
| 资助项目 | Chinese Natural Science Foundation[11631013] ; Chinese Natural Science Foundation[11701137] ; Chinese Natural Science Foundation[11991020] ; Chinese Natural Science Foundation[11991021] ; Major Project to Promote Development of Big Data from National Development and Reform Commission[2016-999999-65-01-000696-01] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000526422700027 |
| 出版者 | AMER CHEMICAL SOC |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/51115]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Dai, Yu-Hong |
| 作者单位 | 1.Hebei Univ Technol, Inst Math, Tianjin 300401, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, ICMSEC, LSEC, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Math Sci, Beijing 100049, Peoples R China 4.PetroChina Pipeline R&D Ctr, CNPC Key Lab Oil & Gas Storage & Transportat, Langfang 065000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Muming,Huang, Yakui,Dai, Yu-Hong,et al. An Efficient Global Optimization Algorithm for Heated Oil Pipeline Problems[J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH,2020,59(14):6638-6649. |
| APA | Yang, Muming,Huang, Yakui,Dai, Yu-Hong,&Li, Bo.(2020).An Efficient Global Optimization Algorithm for Heated Oil Pipeline Problems.INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH,59(14),6638-6649. |
| MLA | Yang, Muming,et al."An Efficient Global Optimization Algorithm for Heated Oil Pipeline Problems".INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 59.14(2020):6638-6649. |
入库方式： OAI收割
来源：数学与系统科学研究院
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